\begin{table}

\caption{Regression Models: Heterogenous effects of the Deactivation conditional on Digital Literacy Score }
\centering
\begin{threeparttable}
\begin{tabular}[t]{lcccccc}
\toprule
  & False Rumors Exposure & True News Exposure & False Rumors Accuracy & True News Accuracy & Polarization Index & Subjective Well-Being Index\\
\midrule
Treatment & -0.429*** & -0.280*** & -0.056 & -0.015 & -0.034 & 0.223\\
 & (0.077) & (0.065) & (0.082) & (0.080) & (0.159) & (0.269)\\
Digital Literacy & 0.018 & 0.002 & 0.067** & 0.018 & 0.142** & -0.031\\
 & (0.024) & (0.022) & (0.024) & (0.025) & (0.050) & (0.083)\\
Treatment x Digital Literacy & -0.044 & -0.022 & -0.006 & 0.010 & 0.045 & -0.176\\
 & (0.035) & (0.029) & (0.035) & (0.036) & (0.070) & (0.121)\\
\midrule
Num.Obs. & 662 & 662 & 662 & 662 & 662 & 662\\
R2 & 0.161 & 0.132 & 0.192 & 0.105 & 0.170 & 0.139\\
R2 Adj. & 0.120 & 0.090 & 0.152 & 0.061 & 0.130 & 0.096\\
RMSE & 0.94 & 0.79 & 1.00 & 0.98 & 1.96 & 3.31\\
\bottomrule
\multicolumn{7}{l}{\rule{0pt}{1em}+ p $<$ 0.1, * p $<$ 0.05, ** p $<$ 0.01, *** p $<$ 0.001}\\
\end{tabular}
\begin{tablenotes}
\item \textit{Note: } 
\item  Robust standard errors in Parentheses. All models use the Covariate-Adjusted ITT estimator. 
\end{tablenotes}
\end{threeparttable}
\end{table}
